With the theme “Observations Lead the Way,” the 2017 AMS Annual Meeting unifies the Society’s vision of where the field is right now, and how it will advance in the future. Today’s models simulate and predict on spatial and temporal scales at much higher resolution than the databases used to initialize them. The greater need for advances has always gone back and forth between the observation portfolio or model sophistication, but right now observations are the greatest need.

With the theme “Observations Lead the Way,” the 2017 AMS Annual Meeting unifies the Society’s vision of where the field is right now, and how it will advance in the future. Today’s models simulate and predict on spatial and temporal scales at much higher resolution than the databases used to initialize them. The greater need for advances has always gone back and forth between the observation portfolio or model sophistication, but right now observations are the greatest need.

With the theme “Observations Lead the Way,” the 2017 AMS Annual Meeting unifies the Society’s vision of where the field is right now, and how it will advance in the future. Today’s models simulate and predict on spatial and temporal scales at much higher resolution than the databases used to initialize them. The greater need for advances has always gone back and forth between the observation portfolio or model sophistication, but right now observations are the greatest need.

With the theme “Observations Lead the Way,” the 2017 AMS Annual Meeting unifies the Society’s vision of where the field is right now, and how it will advance in the future. Today’s models simulate and predict on spatial and temporal scales at much higher resolution than the databases used to initialize them. The greater need for advances has always gone back and forth between the observation portfolio or model sophistication, but right now observations are the greatest need.

With the theme “Observations Lead the Way,” the 2017 AMS Annual Meeting unifies the Society’s vision of where the field is right now, and how it will advance in the future. Today’s models simulate and predict on spatial and temporal scales at much higher resolution than the databases used to initialize them. The greater need for advances has always gone back and forth between the observation portfolio or model sophistication, but right now observations are the greatest need.